Authors :
Pratik Satpute, Rohan Nair, Vaibhav Pathak, Priyanka Bhilare
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2Kn43UF
Abstract :
Conventional interviewing procedures often
lack to grasp a deep understanding of their
interviewees. Interviewers could fail to observe
important facial features, textual tone, and body
language during the interview process. The proposed
system provides a thorough approach to understand
how the interviewee behaves and feels during the
interviewing process. A significant feature of this system
is the ability to measure and quantify the big 5 traits of
personality with the help of machine learning and
natural language processing. Additionally, this paper
presents how the amalgamation of various algorithms
and approaches can help in determining the overall
personality of the interviewee.
Keywords :
Natural Language Processing, Machine Learn- ing, Artificial Intelligence, Sentiment Analysis, FastAI
Conventional interviewing procedures often
lack to grasp a deep understanding of their
interviewees. Interviewers could fail to observe
important facial features, textual tone, and body
language during the interview process. The proposed
system provides a thorough approach to understand
how the interviewee behaves and feels during the
interviewing process. A significant feature of this system
is the ability to measure and quantify the big 5 traits of
personality with the help of machine learning and
natural language processing. Additionally, this paper
presents how the amalgamation of various algorithms
and approaches can help in determining the overall
personality of the interviewee.
Keywords :
Natural Language Processing, Machine Learn- ing, Artificial Intelligence, Sentiment Analysis, FastAI
